Kube Signals starts where the keynote ends: with the trends that platform teams will have to operationalize next.
In this special episode, Brian Teller speaks with Saiyam Pathak about his KubeCon India keynote and the shift from developer platforms to AI factories. They examine what GPU scarcity, shared accelerators, and AI workloads mean after the conference slides meet real infrastructure.
In this interview:
Why GPU infrastructure is becoming a platform-engineering concern
How DRA, HAMI, MIG, and MPS change GPU allocation and utilization
Where isolation, scheduling, and observability become harder for AI platforms
Which cloud-native AI trends and projects platform engineers need to watch
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